Information Theory, Inference, and Learning Algorithms

MacKay's "Information Theory, Inference, and Learning Algorithms" is a great read: http://www.inference.org.uk/itila/book.html

on HN, 2019

If you are interested in Bayesian probability, machine learning or information theory I recommend "Information Theory, Inference, and Learning Algorithms" by MacKay it's an amazing book.

on HN, 2022

Information theory, inference, and learning algorithms by MacKay (great book about probability, plus you can download the .tex source and read the funny comments of the author)

on HN, 2023

not about the subjects that you mention, but if you ever need to learn probability and inference, this is easily among the best books on the subject: http://www.inference.org.uk/mackay/itila/book.html

on HN, 2021

I'm not sure whether David Mackay's Information Theory, Inference, and Learning Algorithms (freely available at http://www.inference.org.uk/mackay/itila/book.html) counts as a textbook, but it's one of my favorite books, on any topic, in any genre.

on HN, 2020

He makes a pretty good case that his is the better textbook.

on HN, 2009

David MacKay's "Information theory, inference and learning algorithms" was a huge eye opener for me.

on HN, 2019